In this article
The useful24GB Pascal profile includes its retained sm_61 software artifact.
NVIDIA Quadro P6000 is assessed here as an exact Pascal board configuration. Its published 24 GB capacity is the starting point for a workload qualification, not a measured serving or rendering result.
Exact model and memory variants
Quadro P6000 supplies24 GB GDDR5X in a 250 W active dual-slot Pascal board. The capacity resembles newer RTX products, but its software path is different.
| Variant | Memory | Published board power | Cooling / format |
|---|---|---|---|
| NVIDIA Quadro P6000 | 24 GB GDDR5X | 250 W | Active; Full-height dual slot |
Specifications: Official product/support documentation.
LLM backend and memory budget
PascalCC6.1 is outside current vLLM support. Evaluate quantized GGUF work with an explicit llama.cpp sm_61 CUDA12.x build, recorded driver and measured full/partial offload; capacity is not evidence of modern kernel support.
The current vLLM requirement is compute capability7.5 or higher; this architecture is below that floor.
Compatibility evidence: llama.cpp CUDA build configuration and the NVIDIA architecture matrix. The current vLLM capability floor excludes this architecture.
Cycles and batch rendering
CUDA/OptiX rendering is conditional on the verified Cycles5.2 requirements and actual scene fit. Pascal has no RTX RT cores, and GPU OIDN has a higher capability floor than rendering itself.
Blender 5.2 LTS GPU rendering manual.
Integration into a server or workstation
Retain the original active dual-slot enclosure assumptions and the 250 W product limit. The driver/toolkit retention requirement is part of operation, not an optional note added after a generic container fails. Archive a rebuildable software definition.
A concrete qualification scenario
A studio compares keeping an existing P6000 with moving the same 24 GB task to RTX hardware. Start with the retained Pascal stack and one recorded artifact. Run the reference scene with a documented denoising path rather than assuming GPU OIDN. Keep compatibility outcomes separate from execution measurements on the newer card. Equal memory capacity does not authorize copying the newer runtime image to Pascal.
The evidence to retain
Keep an ordinary qualification record with the actual test outputs.
Identify the tested variant, software build and execution mode before entering observations. Leave unavailable measurements explicitly unknown.
The fields below separate published specifications from observed allocation and job completion, so a later operator can repeat the same case.
| Evidence field | What this profile must retain |
|---|---|
| Hardware identity | NVIDIA Quadro P6000; physical variant and reported device identifier |
| Memory boundary | 24 GB published; observed free memory before and after loading |
| Inference artifact | Exact weights digest, quantization, context and offload configuration |
| Render artifact | Scene digest, renderer version, backend and denoising setting |
| System envelope | Driver, container/build digest, enclosure and cooling configuration |
| Completion evidence | Application exit status, output validity and observed memory failures |
A24 GB modern RTX image may reject Pascal before weights load; keep architecture failure separate from any P6000 memory-capacity conclusion.
Further reading: Build llama.cpp CUDA binaries for multiple GPU architectures, Used GPUs: which checks are needed before a pilot?, NVIDIA and AMD GPU catalogue.